13481 Repositories
Python neural-networks-and-deep-learning Libraries
(JMLR' 19) A Python Toolbox for Scalable Outlier Detection (Anomaly Detection)
Python Outlier Detection (PyOD) Deployment & Documentation & Stats & License PyOD is a comprehensive and scalable Python toolkit for detecting outlyin
Forecast dynamically at scale with this unique package. pip install scalecast
🌄 Scalecast: Dynamic Forecasting at Scale About This package uses a scaleable forecasting approach in Python with common scikit-learn and statsmodels
Hierarchical Time Series Forecasting with a familiar API
scikit-hts Hierarchical Time Series with a familiar API. This is the result from not having found any good implementations of HTS on-line, and my work
A python library for time-series smoothing and outlier detection in a vectorized way.
tsmoothie A python library for time-series smoothing and outlier detection in a vectorized way. Overview tsmoothie computes, in a fast and efficient w
Python calculations for the position of the sun and moon.
Astral This is 'astral' a Python module which calculates Times for various positions of the sun: dawn, sunrise, solar noon, sunset, dusk, solar elevat
An open source python library for automated feature engineering
"One of the holy grails of machine learning is to automate more and more of the feature engineering process." ― Pedro Domingos, A Few Useful Things to
Technical Analysis library in pandas for backtesting algotrading and quantitative analysis
bta-lib - A pandas based Technical Analysis Library bta-lib is pandas based technical analysis library and part of the backtrader family. Links Main P
WTTE-RNN a framework for churn and time to event prediction
WTTE-RNN Weibull Time To Event Recurrent Neural Network A less hacky machine-learning framework for churn- and time to event prediction. Forecasting p
Python package for downloading ECMWF reanalysis data and converting it into a time series format.
ecmwf_models Readers and converters for data from the ECMWF reanalysis models. Written in Python. Works great in combination with pytesmo. Citation If
A Quick and Dirty Progressive Neural Network written in TensorFlow.
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Teaches a student network from the knowledge obtained via training of a larger teacher network
Distilling-the-knowledge-in-neural-network Teaches a student network from the knowledge obtained via training of a larger teacher network This is an i
Code to accompany our paper "Continual Learning Through Synaptic Intelligence" ICML 2017
Continual Learning Through Synaptic Intelligence This repository contains code to reproduce the key findings of our path integral approach to prevent
PyTorch implementation of "Continual Learning with Deep Generative Replay", NIPS 2017
pytorch-deep-generative-replay PyTorch implementation of Continual Learning with Deep Generative Replay, NIPS 2017 Results Continual Learning on Permu
A PyTorch implementation of the continual learning experiments with deep neural networks
Brain-Inspired Replay A PyTorch implementation of the continual learning experiments with deep neural networks described in the following paper: Brain
Bacon - Band-limited Coordinate Networks for Multiscale Scene Representation
BACON: Band-limited Coordinate Networks for Multiscale Scene Representation Proj
FADNet++: Real-Time and Accurate Disparity Estimation with Configurable Networks
FADNet++: Real-Time and Accurate Disparity Estimation with Configurable Networks
VCPlayerBot - Telegram bot to stream videos in telegram voicechat for both groups and channels. Supports live steams, YouTube videos and telegram media
VCPlayerBot Telegram bot to stream videos in telegram voicechat for both groups
TreeSubstitutionCipher - Encryption system based on trees and substitution
Tree Substitution Cipher Generation Algorithm: Generate random tree. Tree nodes
Software Engineer Salary Prediction
Based on 2021 stack overflow data, this machine learning web application helps one predict the salary based on years of experience, level of education and the country they work in.
learn python in 100 days, a simple step could be follow from beginner to master of every aspect of python programming and project also include side project which you can use as demo project for your personal portfolio
learn python in 100 days, a simple step could be follow from beginner to master of every aspect of python programming and project also include side project which you can use as demo project for your personal portfolio
Medical appointments No-Show classifier
Medical Appointments No-shows Why do 20% of patients miss their scheduled appointments? A person makes a doctor appointment, receives all the instruct
Example applications, dashboards, scripts, notebooks, and other utilities built using Polygon.io
Polygon.io Examples Example applications, dashboards, scripts, notebooks, and other utilities built using Polygon.io. Examples Preview Name Type Langu
Regularization and Feature Selection in Least Squares Temporal Difference Learning
Regularization and Feature Selection in Least Squares Temporal Difference Learning Description This is Python implementations of Least Angle Regressio
Template repo for a GCP-hosted REST API with automatic API versioning and custom domain mapping
Python + Poetry REST API with FastAPI, hosted on GCP This template will get you ready to deploy a FastAPI app in Google Cloud with automatic API versi
Sign Language Recognition service utilizing a deep learning model with Long Short-Term Memory to perform sign language recognition.
Sign Language Recognition Service This is a Sign Language Recognition service utilizing a deep learning model with Long Short-Term Memory to perform s
If you have stars in your Pipfile and you don't want them, this project is for you!
unstar-pipfile If you have stars in your Pipfile, this project is for you! unstar-pipfile is a tool to scan Pipfile.lock and replace any stars in Pipf
Arquivos do curso online sobre a estatística voltada para ciência de dados e aprendizado de máquina.
Estatistica para Ciência de Dados e Machine Learning Arquivos do curso online sobre a estatística voltada para ciência de dados e aprendizado de máqui
DevSecOps pipeline for Python based web app using Jenkins, Ansible, AWS, and open-source security tools and checks.
DevSecOps pipeline for Python Web App A Jenkins end-to-end DevSecOps pipeline for Python web application, hosted on AWS Ubuntu 20.04 Note: This projec
A general and strong 3D object detection codebase that supports more methods, datasets and tools (debugging, recording and analysis).
ALLINONE-Det ALLINONE-Det is a general and strong 3D object detection codebase built on OpenPCDet, which supports more methods, datasets and tools (de
Cherche (search in French) allows you to create a neural search pipeline using retrievers and pre-trained language models as rankers.
Cherche (search in French) allows you to create a neural search pipeline using retrievers and pre-trained language models as rankers. Cherche is meant to be used with small to medium sized corpora. Cherche's main strength is its ability to build diverse and end-to-end pipelines.
Deepchecks is a Python package for comprehensively validating your machine learning models and data with minimal effort
Deepchecks is a Python package for comprehensively validating your machine learning models and data with minimal effort
Speech recognition tool to convert audio to text transcripts, for Linux and Raspberry Pi.
Spchcat Speech recognition tool to convert audio to text transcripts, for Linux and Raspberry Pi. Description spchcat is a command-line tool that read
PASSL包含 SimCLR,MoCo,BYOL,CLIP等基于对比学习的图像自监督算法以及 Vision-Transformer,Swin-Transformer,BEiT,CVT,T2T,MLP_Mixer等视觉Transformer算法
PASSL Introduction PASSL is a Paddle based vision library for state-of-the-art Self-Supervised Learning research with PaddlePaddle. PASSL aims to acce
PyTorch EO aims to make Deep Learning for Earth Observation data easy and accessible to real-world cases and research alike.
Pytorch EO Deep Learning for Earth Observation applications and research. 🚧 This project is in early development, so bugs and breaking changes are ex
Repository of continual learning papers
Continual learning paper repository This repository contains an incomplete (but dynamically updated) list of papers exploring continual learning in ma
A modular, open and non-proprietary toolkit for core robotic functionalities by harnessing deep learning
A modular, open and non-proprietary toolkit for core robotic functionalities by harnessing deep learning Website • About • Installation • Using OpenDR
A self-supervised learning framework for audio-visual speech
AV-HuBERT (Audio-Visual Hidden Unit BERT) Learning Audio-Visual Speech Representation by Masked Multimodal Cluster Prediction Robust Self-Supervised A
Reproducible research and reusable acyclic workflows in Python. Execute code on HPC systems as if you executed them on your personal computer!
Reproducible research and reusable acyclic workflows in Python. Execute code on HPC systems as if you executed them on your machine! Motivation Would
A curated list of the top 10 computer vision papers in 2021 with video demos, articles, code and paper reference.
The Top 10 Computer Vision Papers of 2021 The top 10 computer vision papers in 2021 with video demos, articles, code, and paper reference. While the w
A calibre plugin that generates Word Wise and X-Ray files then sends them to Kindle. Supports KFX, AZW3 and MOBI eBooks. X-Ray supports 18 languages.
WordDumb A calibre plugin that generates Word Wise and X-Ray files then sends them to Kindle. Supports KFX, AZW3 and MOBI eBooks. Languages X-Ray supp
Anki vector Music ❤ is the best and only Telegram VC player with playlists, Multi Playback, Channel play and more
Anki Vector Music 🎵 A bot that can play music on Telegram Group and Channel Voice Chats Available on telegram as @Anki Vector Music Features 🔥 Thumb
A web application that provides real time temperature and humidity readings of a house.
About A web application which provides real time temperature and humidity readings of a house. If you're interested in the data collected so far click
Texting service to receive current air quality conditions and maps, powered by AirNow, Twilio, and AWS
The Air Quality Bot is generally available by texting a zip code (and optionally the word "map") to (415) 212-4229. The bot will respond with the late
Pywbem - A WBEM client and related utilities, written in pure Python.
Pywbem - A WBEM client and related utilities, written in pure Python Overview Pywbem is a WBEM client and WBEM indication listener and provides relate
Python meta class and abstract method library with restrictions.
abcmeta Python meta class and abstract method library with restrictions. This library provides a restricted way to validate abstract methods. The Pyth
examify-io is an online examination system that offers automatic grading , exam statistics , proctoring and programming tests , multiple user roles
examify-io is an online examination system that offers automatic grading , exam statistics , proctoring and programming tests , multiple user roles ( Examiner , Supervisor , Student )
Import Python modules from dicts and JSON formatted documents.
Paker Paker is module for importing Python packages/modules from dictionaries and JSON formatted documents. It was inspired by httpimporter. Important
PyPIContents is an application that generates a Module Index from the Python Package Index (PyPI) and also from various versions of the Python Standard Library.
PyPIContents is an application that generates a Module Index from the Python Package Index (PyPI) and also from various versions of the Python Standar
Clustering with variational Bayes and population Monte Carlo
pypmc pypmc is a python package focusing on adaptive importance sampling. It can be used for integration and sampling from a user-defined target densi
An Inverse Kinematics library aiming performance and modularity
IKPy Demo Live demos of what IKPy can do (click on the image below to see the video): Also, a presentation of IKPy: Presentation. Features With IKPy,
Approaches to modeling terrain and maps in python
topography 🌎 Contains different approaches to modeling terrain and topographic-style maps in python Features Inverse Distance Weighting (IDW) A given
A ULauncher/Albert extension that supports currency, units and date time conversion, as well as a calculator that supports complex numbers and functions.
Ulauncher/Albert Calculate Anything Ulauncher/Albert Calculate Anything is an extension for Ulauncher and Albert to calculate things like currency, ti
A simple wrapper to analyse and visualise reinforcement learning agents' behaviour in the environment.
Visrl Visrl (pronounced "visceral") is a simple wrapper to analyse and visualise reinforcement learning agents' behaviour in the environment. Reinforc
Covid-polygraph - a set of Machine Learning-driven fact-checking tools
Covid-polygraph, a set of Machine Learning-driven fact-checking tools that aim to address the issue of misleading information related to COVID-19.
Python scrapper scrapping torrent website and download new movies Automatically.
torrent-scrapper Python scrapper scrapping torrent website and download new movies Automatically. If you like it Put a ⭐ on this repo 😇 Run this git
In this project we use both Resnet and Self-attention layer for cat, dog and flower classification.
cdf_att_classification classes = {0: 'cat', 1: 'dog', 2: 'flower'} In this project we use both Resnet and Self-attention layer for cdf-Classification.
Tutorial on scikit-learn and IPython for parallel machine learning
Parallel Machine Learning with scikit-learn and IPython Video recording of this tutorial given at PyCon in 2013. The tutorial material has been rearra
Datasets, tools, and benchmarks for representation learning of code.
The CodeSearchNet challenge has been concluded We would like to thank all participants for their submissions and we hope that this challenge provided
Tutorials and implementations for "Self-normalizing networks"
Self-Normalizing Networks Tutorials and implementations for "Self-normalizing networks"(SNNs) as suggested by Klambauer et al. (arXiv pre-print). Vers
General Assembly's 2015 Data Science course in Washington, DC
DAT8 Course Repository Course materials for General Assembly's Data Science course in Washington, DC (8/18/15 - 10/29/15). Instructor: Kevin Markham (
Ipython notebook presentations for getting starting with basic programming, statistics and machine learning techniques
Data Science 45-min Intros Every week*, our data science team @Gnip (aka @TwitterBoulder) gets together for about 50 minutes to learn something. While
🔅 Shapash makes Machine Learning models transparent and understandable by everyone
🎉 What's new ? Version New Feature Description Tutorial 1.6.x Explainability Quality Metrics To help increase confidence in explainability methods, y
A middle-to-high level algorithm book designed with coding interview at heart!
Hands-on Algorithmic Problem Solving A one-stop coding interview prep book! About this book In short, this is a middle-to-high level algorithm book de
SphereFace: Deep Hypersphere Embedding for Face Recognition
SphereFace: Deep Hypersphere Embedding for Face Recognition By Weiyang Liu, Yandong Wen, Zhiding Yu, Ming Li, Bhiksha Raj and Le Song License SphereFa
Creative Applications of Deep Learning w/ Tensorflow
Creative Applications of Deep Learning w/ Tensorflow This repository contains lecture transcripts and homework assignments as Jupyter Notebooks for th
A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep
Here are the sections: Data Science Cheatsheets Data Science EBooks Data Science Question Bank Data Science Case Studies Data Science Portfolio Data J
Deep Learning Specialization by Andrew Ng, deeplearning.ai.
Deep Learning Specialization on Coursera Master Deep Learning, and Break into AI This is my personal projects for the course. The course covers deep l
GAT - Graph Attention Network (PyTorch) 💻 + graphs + 📣 = ❤️
GAT - Graph Attention Network (PyTorch) 💻 + graphs + 📣 = ❤️ This repo contains a PyTorch implementation of the original GAT paper ( 🔗 Veličković et
wgan, wgan2(improved, gp), infogan, and dcgan implementation in lasagne, keras, pytorch
Generative Adversarial Notebooks Collection of my Generative Adversarial Network implementations Most codes are for python3, most notebooks works on C
Apache Spark & Python (pySpark) tutorials for Big Data Analysis and Machine Learning as IPython / Jupyter notebooks
Spark Python Notebooks This is a collection of IPython notebook/Jupyter notebooks intended to train the reader on different Apache Spark concepts, fro
🤖 ⚡ scikit-learn tips
🤖 ⚡ scikit-learn tips New tips are posted on LinkedIn, Twitter, and Facebook. 👉 Sign up to receive 2 video tips by email every week! 👈 List of all
A series of Jupyter notebooks with Chinese comment that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
Hands-on-Machine-Learning 目的 这份笔记旨在帮助中文学习者以一种较快较系统的方式入门机器学习, 是在学习Hands-on Machine Learning with Scikit-Learn and TensorFlow这本书的 时候做的个人笔记: 此项目的可取之处 原书的
This repository provides all Python codes and Jupyter Notebooks of the book Python for Finance
Python for Finance (O'Reilly) This repository provides all Python codes and Jupyter Notebooks of the book Python for Finance -- Analyze Big Financial
Introduction to Statistics and Basics of Mathematics for Data Science - The Hacker's Way
HackerMath for Machine Learning “Study hard what interests you the most in the most undisciplined, irreverent and original manner possible.” ― Richard
List of papers, code and experiments using deep learning for time series forecasting
Deep Learning Time Series Forecasting List of state of the art papers focus on deep learning and resources, code and experiments using deep learning f
Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch
Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BERT.
Logica is a logic programming language that compiles to StandardSQL and runs on Google BigQuery.
Logica: language of Big Data Logica is an open source declarative logic programming language for data manipulation. Logica is a successor to Yedalog,
Koç University deep learning framework.
Knet Knet (pronounced "kay-net") is the Koç University deep learning framework implemented in Julia by Deniz Yuret and collaborators. It supports GPU
Searches through git repositories for high entropy strings and secrets, digging deep into commit history
truffleHog Searches through git repositories for secrets, digging deep into commit history and branches. This is effective at finding secrets accident
Setup and customize deep learning environment in seconds.
Deepo is a series of Docker images that allows you to quickly set up your deep learning research environment supports almost all commonly used deep le
Hide screen when boss is approaching.
BossSensor Hide your screen when your boss is approaching. Demo The boss stands up. He is approaching. When he is approaching, the program fetches fac
Official Tensorflow implementation of U-GAT-IT: Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization for Image-to-Image Translation (ICLR 2020)
U-GAT-IT — Official TensorFlow Implementation (ICLR 2020) : Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization fo
MicroK8s is a small, fast, single-package Kubernetes for developers, IoT and edge.
MicroK8s The smallest, fastest Kubernetes Single-package fully conformant lightweight Kubernetes that works on 42 flavours of Linux. Perfect for: Deve
The best free and open-source automated time tracker. Cross-platform, extensible, privacy-focused.
Records what you do so that you can know how you've spent your time. All in a secure way where you control the data. Website — Forum — Documentation —
CLI tool to build, test, debug, and deploy Serverless applications using AWS SAM
AWS SAM The AWS Serverless Application Model (SAM) is an open-source framework for building serverless applications. It provides shorthand syntax to e
A powerful and user-friendly binary analysis platform!
angr angr is a platform-agnostic binary analysis framework. It is brought to you by the Computer Security Lab at UC Santa Barbara, SEFCOM at Arizona S
SASM - simple crossplatform IDE for NASM, MASM, GAS and FASM assembly languages
SASM (SimpleASM) - простая кроссплатформенная среда разработки для языков ассемблера NASM, MASM, GAS, FASM с подсветкой синтаксиса и отладчиком. В SA
Not Suitable for Work (NSFW) classification using deep neural network Caffe models.
Open nsfw model This repo contains code for running Not Suitable for Work (NSFW) classification deep neural network Caffe models. Please refer our blo
Anomaly detection related books, papers, videos, and toolboxes
Anomaly Detection Learning Resources Outlier Detection (also known as Anomaly Detection) is an exciting yet challenging field, which aims to identify
Markdown Presentations for Tech Conferences, Training, Developer Advocates, and Educators.
March 1, 2021: Service on gitpitch.com has been shutdown permanently. GitPitch 4.0 Docs Twitter About Watch the Introducing GitPitch 4.0 Video Visit t
Largest list of models for Core ML (for iOS 11+)
Since iOS 11, Apple released Core ML framework to help developers integrate machine learning models into applications. The official documentation We'v
A list of NLP(Natural Language Processing) tutorials
NLP Tutorial A list of NLP(Natural Language Processing) tutorials built on PyTorch. Table of Contents A step-by-step tutorial on how to implement and
Distributed deep learning on Hadoop and Spark clusters.
Note: we're lovingly marking this project as Archived since we're no longer supporting it. You are welcome to read the code and fork your own version
My solution to the book A Collection of Data Science Take-Home Challenges
DS-Take-Home Solution to the book "A Collection of Data Science Take-Home Challenges". Note: Please don't contact me for the dataset. This repository
Mina is a new cryptocurrency with a constant size blockchain, improving scaling while maintaining decentralization and security.
Mina Mina is the first cryptocurrency with a lightweight, constant-sized blockchain. This is the main source code repository for the Mina project. It
Unofficial implementation of the ImageNet, CIFAR 10 and SVHN Augmentation Policies learned by AutoAugment using pillow
AutoAugment - Learning Augmentation Policies from Data Unofficial implementation of the ImageNet, CIFAR10 and SVHN Augmentation Policies learned by Au
Social reading and reviewing, decentralized with ActivityPub
BookWyrm Social reading and reviewing, decentralized with ActivityPub Contents Joining BookWyrm Contributing About BookWyrm What it is and isn't The r
AutoKey, a desktop automation utility for Linux and X11.
AutoKey Contents About Installation Zero-installation Method Documentation Support Bug reports and Pull Requests Changelog License About AutoKey, a de
BleachBit system cleaner for Windows and Linux
BleachBit BleachBit cleans files to free disk space and to maintain privacy. Running from source To run BleachBit without installation, unpack the tar
Very efficient backup system based on the git packfile format, providing fast incremental saves and global deduplication
Very efficient backup system based on the git packfile format, providing fast incremental saves and global deduplication (among and within files, including virtual machine images). Current release is 0.31, and the development branch is master. Please post problems or patches to the mailing list for discussion (see the end of the README below).